乐胖代购免代理版

{"id":"https://openalex.org/W4391770389","doi":"https://doi.org/10.1109/itsc57777.2023.10422281","title":"Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations","display_name":"Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391770389","doi":"https://doi.org/10.1109/itsc57777.2023.10422281"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422281","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049788861","display_name":"Raphael Trumpp","orcid":"https://orcid.org/0000-0003-3902-7916"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raphael Trumpp","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002929602","display_name":"Martin B\u00fcchner","orcid":"https://orcid.org/0000-0001-8725-1213"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin B\u00fcchner","raw_affiliation_strings":["Department of Computer Science, University of Freiburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039639553","display_name":"Abhinav Valada","orcid":"https://orcid.org/0000-0003-4710-3114"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abhinav Valada","raw_affiliation_strings":["Department of Computer Science, University of Freiburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060442004","display_name":"Marco Caccamo","orcid":"https://orcid.org/0000-0003-2328-044X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Caccamo","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.532,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.969231,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":84,"max":87},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.6829,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.6829,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.6666,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10302","display_name":"Fish Ecology and Management Studies","score":0.6513,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/policy-learning","display_name":"Policy learning","score":0.5143255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.56513494},{"id":"https://openalex.org/C2779436431","wikidata":"https://www.wikidata.org/wiki/Q30672407","display_name":"Policy learning","level":2,"score":0.5143255},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5135462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22342539},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422281","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7,"id":"https://metadata.un.org/sdg/11"}],"grants":[{"funder":"https://openalex.org/F4320308022","funder_display_name":"California Department of Fish and Game","award_id":"468878300"}],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W2124770562","https://openalex.org/W2542192499","https://openalex.org/W2736601468","https://openalex.org/W2968983352","https://openalex.org/W2990123902","https://openalex.org/W3003329097","https://openalex.org/W3009593063","https://openalex.org/W3128395826","https://openalex.org/W3133427233","https://openalex.org/W3172863135","https://openalex.org/W3193266637","https://openalex.org/W3204475858","https://openalex.org/W3209773989","https://openalex.org/W4214530037","https://openalex.org/W4226305814","https://openalex.org/W4285819294","https://openalex.org/W4312862130","https://openalex.org/W4386075726","https://openalex.org/W4386076701"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2530322880","https://openalex.org/W2478288626","https://openalex.org/W2390279801","https://openalex.org/W2382290278","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2350741829","https://openalex.org/W2001405890","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1,69,90],"involves":[2],"complex":[3],"decision-making":[4],"in":[5,53,92],"highly":[6],"interactive":[7],"environments,":[8],"requiring":[9,102],"thoughtful":[10],"negotiation":[11],"with":[12,121],"other":[13,122],"traffic":[14],"participants.":[15],"While":[16],"reinforcement":[17,50],"learning":[18,28,38,51,74],"provides":[19],"a":[20,45,72,87],"way":[21],"to":[22,36],"learn":[23],"such":[24],"interaction":[25],"behavior,":[26],"efficient":[27,107],"critically":[29],"depends":[30],"on":[31,86],"scalable":[32],"state":[33,41],"representations.":[34],"Contrary":[35],"imitation":[37],"methods,":[39],"high-dimensional":[40],"representations":[42,66],"still":[43],"constitute":[44],"major":[46],"bottleneck":[47],"for":[48,67,76,106],"deep":[49],"methods":[52,99],"autonomous":[54,68,89],"driving.":[55,78],"In":[56],"this":[57],"paper,":[58],"we":[59],"study":[60],"the":[61],"challenges":[62],"of":[63],"constructing":[64],"bird's-eye-view":[65],"and":[70],"propose":[71],"recurrent":[73],"architecture":[75],"long-horizon":[77],"Our":[79],"PPO-based":[80],"approach,":[81],"called":[82],"RecurrDriveNet,":[83],"is":[84],"demonstrated":[85],"simulated":[88],"task":[91],"CARLA,":[93],"where":[94],"it":[95],"outperforms":[96],"traditional":[97],"frame-stacking":[98],"while":[100],"only":[101],"one":[103,113],"million":[104],"experiences":[105],"training.":[108],"RecurrDriveNet":[109],"causes":[110],"less":[111],"than":[112],"infraction":[114],"per":[115],"driven":[116],"kilometer":[117],"by":[118],"interacting":[119],"safely":[120],"road":[123],"users.":[124]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391770389","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-01-07T06:24:46.226959","created_date":"2024-02-14"}